JHU Malone Center for Engineering in Healthcare

@jhumceh.bsky.social

Our mission is to catalyze and accelerate the development of research-based innovations that advance the effectiveness and efficiency of healthcare. malonecenter.jhu.edu • Baltimore, Md • #JHUMCEH

AI’s tendency to appear agreeable can lead it to pose as a therapist, validate harmful thoughts expressed by distressed users, and—perhaps most infamously—help draft suicide notes.

The EDU Ledger@theeduledger.bsky.social · 3w ago

As colleges debate student use of #AI, an EDU Ledger new poll suggests many institutions still lack clear guardrails for using the technology in admissions, advising, hiring, and student support.

In the @hopkinsengineer.bsky.social magazine: Malone Center affiliate Nicholas Durr has developed a new microscopy method that produces real-time, high-resolution images of living tissue and flowing blood cells—opening a potential path toward faster diagnoses and fewer invasive biopsies.

Bye-Bye Biopsies - Johns Hopkins Engineering Magazine

Engineers have developed a microscopy method for faster diagnoses and fewer invasive biopsies.

engineering.jhu.edu

Congratulations to Malone Center members Anton Dahbura, Ayes P. Gurses, Ahmed Hasson, and @kathy-mcdonald.bsky.social on their 2026 @jhu.edu Nexus Awards! Learn more about their proposed programming activities at the Johns Hopkins University Bloomberg Center below:

Malone Center members receive 2026 Johns Hopkins Nexus Awards

The Nexus Awards Program supports a diverse range of programming, research, and teaching activities at the Hopkins Bloomberg Center.

malonecenter.jhu.edu

In the @hopkinsengineer.bsky.social mag: “Although current AI isn’t yet ready for population-wide screening, if we use imaging biomarkers, clinical notes, and deep neural networks to select high-risk patients, we can transform a blunt screener into a precision detection tool,” says Zongwei Zhou.

Accelerating Pancreatic Cancer Detection - Johns Hopkins Engineering Magazine

Hopkins researchers have developed a database aimed at leveraging artificial intelligence to spot pancreatic cancer earlier, when it is potentially treatable.

engineering.jhu.edu

“Many people mistakenly see @fda.gov clearance as the ceiling, when I think it’s only the floor. It’s the starting point,” says the Malone Center’s Suchi Saria. “If you can’t change clinician action, then you’re not going to drive outcomes—and changing outcomes is the real goal.”

MedCity News@medcitynews.com · 2mo ago

How Bayesian Health’s Sepsis AI Tool Is Decreasing Alerts & Saving Lives https://medcitynews.com/2026/05/bayesian-sepsis-ai/

"This new framework allowed us to gain novel insights into the complex interplay between genes and environment in developmental conditions such as autism and has important future implications for the discovery of risk factors and biomarkers," says @jhu-bdps.bsky.social Nilanjan Chatterjee.

New framework offers fresh insights into autism risk factors

The study from researchers at Johns Hopkins and Kaiser Permanente offers improved understanding of how genetics and environment contribute to autism risk.

malonecenter.jhu.edu

“We can’t keep treating this as a future problem—the harms are already here,” says Malone Center affiliate and @jhcsp.bsky.social deputy director Emily Haroz. “Innovation and accountability have to move together, and that’s the work ahead of all of us moving forward.”

Millions are turning to AI for mental health advice. Experts say AI policy should protect users.

Researchers, lawmakers, clinicians, and advocates examine how states can respond to the growing use of artificial intelligence in behavioral healthcare.

malonecenter.jhu.edu

Malone Center affiliate & @jhu-bdps.bsky.social Christopher Chute is the PI on the REACH research protocol: “Its scope, depth, and breadth puts @jhu.edu at the forefront of institutions, enabling its scientists to leverage clinical data, ultimately for the benefit of patients here and everywhere.”

Johns Hopkins launches REACH, a secure data enclave to power clinical research universitywide

New IT resource gives researchers streamlined access to de-identified, multimodal data from more than 8 million patients

hub.jhu.edu

"Once a clinician already suspects sepsis, the clock has been running—often for hours or even days," says lead researcher and John C. Malone Associate Professor of Computer Science Suchi Saria. "No other cleared test or device monitors for sepsis prior to clinician suspicion."

Johns Hopkins University@jhu.edu · 3mo ago

A major milestone for clinical AI and patient care at Johns Hopkins. The @fda.gov has approved an AI-powered early warning system developed by Johns Hopkins researchers that can detect sepsis before clinicians may even suspect it. #ResearchSavesLives hub.jhu.edu/2026/05/12/f...

An image with white text and a blue background. The Research Saves Lives logo is at the top left.

Congratulations to Malone Center affiliate member @stephaniehicks.bsky.social on being named a Fellow of the @aimbe-official.bsky.social! She was recognized for her outstanding contributions to biomedical data science, including pioneering methods and pedagogy in single cell and spatial genomics.

Stephanie Hicks named to AIMBE College of Fellows

Hicks was honored for her outstanding contributions to engineering and medicine research and practice.

malonecenter.jhu.edu

An early warning system for sepsis, one of the deadliest infections for hospital patients, has been approved for use by the @fda.gov. Developed by John C. Malone Associate Professor of Computer Science Suchi Saria, it’s one of the first AI-based medical tools to get this kind of clearance.

FDA approves early warning system for sepsis

The AI system detects deadly infections faster than doctors, saving thousands from a condition that claims more than 250,000 lives each year in the U.S.

malonecenter.jhu.edu